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Audio Emotion Detection
A
Audio Emotion Detection
Developed by Hatman
This model is fine-tuned from facebook/wav2vec2-large-xlsr-53 for audio emotion detection, capable of recognizing 7 emotional states
Downloads 630
Release Time : 7/25/2024
Model Overview
This model is used for audio emotion recognition and can output labels for anger, disgust, fear, happiness, neutrality, sadness, and surprise
Model Features
High Accuracy Emotion Recognition
Achieves 62.62% accuracy on the evaluation set, capable of recognizing 7 different emotional states
Based on Powerful Foundation Model
Fine-tuned from facebook/wav2vec2-large-xlsr-53, inheriting its excellent speech feature extraction capabilities
Standardized Audio Processing
All training audio has a sampling rate of 16000Hz, ensuring processing consistency
Model Capabilities
Audio Emotion Classification
Speech Feature Extraction
Multi-emotion State Recognition
Use Cases
Emotion Analysis
Customer Service Call Analysis
Analyze emotional states in customer calls to assess service quality
Can identify negative emotions like anger and dissatisfaction
Psychological State Assessment
Evaluate speaker's psychological state through voice analysis
Can detect emotional characteristics like depression and anxiety
Human-Computer Interaction
Smart Assistant Emotional Response
Enable smart assistants to adjust responses based on user's vocal emotions
Enhances interaction naturalness and user experience
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